Adapted local trigonometric transforms and speech processing

  • Authors:
  • E. Wesfreid;M.V. Wickerhauser

  • Affiliations:
  • Ceremade, Paris IX-Dauphine Univ.;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1993

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Abstract

Uses an algorithm based on the adapted-window Malvar transform to decompose digitized speech signals into a local time-frequency representation. The authors present some applications and experimental results for a signal compression and automatic voiced-unvoiced segmentation. This decomposition provides a method of parameter simplification which appears to be useful for detecting fundamental frequencies, and characterizing formants